iPhone 15 Pro Max
Geekbench AI Score
3959
Single Precision Score
6963
Half Precision Score
5699
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 11:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1694
315.0 IPS |
|
|
Image Classification (HP)
|
100% |
3001
558.2 IPS |
|
|
Image Classification (Q)
|
96% |
2045
381.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8127
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16996
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14679
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (HP)
|
97% |
3338
265.7 IPS |
|
|
Object Detection (Q)
|
94% |
2373
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6774
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3792
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6972
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12845
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9006
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21592
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33757
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28170
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4960
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5770
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4479
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5710
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6900
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6944
120.0 IPS |
